[Lisa_seminaires] UdeM-McGill-MITACS machine learning seminar Wed Aug. 24th @ 15h00, AA3195

Guillaume Desjardins guillaume.desjardins at gmail.com
Mer 24 Aou 10:38:17 EDT 2011


A reminder for today's MITACS talk by Benjamin Schrauwen. See you there !

On Mon, Aug 22, 2011 at 6:16 PM, Guillaume Desjardins <
guillaume.desjardins at gmail.com> wrote:

> A new school year is upon us, and with it, comes a new round of seminars !
>
> I am thus pleased to announce that a UdeM-McGill-MITACS machine learning
> seminar will be held this Wesdnesday, Aug 24th. The talk will be given by
> Benjamin Schrauwen and take place from 15h00-16h00 in the room AA3195
> (pavillon Andre-Aisenstadt, click here<http://maps.google.ca/maps?q=2920,+chemin+de+la+tour&hl=en&z=16&iwloc=A>for directions) at the Université de Montréal. Abstract and title below.
> Hope to see you there !
>
>
> Title: An overview and recent insights on Reservoir Computing
>
> Abstract:
>
> Many practical and industrial applications are temporal in nature: control,
> model identification, robotics, language processing, speech recognition,
> biomedical signal processing, ... Reservoir Computing (RC) is a recently
> proposed Machine Learning technique using untrained recurrent neural
> networks as feature expansion which allows to train spatio-temporal
> functionals using only linear regression.
>
> We will introduce the technique and show various tasks on which it has been
> successfully applied. Recent work will be presented that shows that kernel
> functions can be defined that effectively simulate infinite sized reservoir
> systems, and how RC can be seen as fading memory regularizers.
>
> If time permits, we will briefly demonstrate that the ideas of Reservoir
> Computing can lead to a radically new way of thinking about how computation
> can be implemented in physical systems.
>
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